Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines delivering results with enjoyment.
Job DescriptionProject – the aim you’ll have
Our team works with a leading UK-based insurance company to build and evolve a proprietary data platform that helps identify vulnerabilities and proactively reduce cyber risk.
The platform ingests and processes large volumes of vulnerability intelligence data from multiple sources. It powers scalable backend services, high-performance APIs and event-driven data processing, helping businesses identify and manage cybersecurity risks that may impact them and their customers.
This is not a typical CRUD application. You’ll be working with large-scale data processing, distributed systems, cloud infrastructure and real-world cybersecurity challenges - with Python at the heart of the platform.
Role – how you’ll contribute
As a Senior Python Software Engineer, you will play a key role in designing and developing scalable backend solutions for a data-intensive platform. You'll collaborate closely with experienced engineers to build reliable services, shape technical solutions, and contribute to the evolution of the platform and engineering practices.
In this role, you will:
- Design, develop and maintain backend services and REST APIs using Python.
- Build scalable solutions for ingesting, processing and transforming large datasets.
- Work with Microsoft Azure, including containerized workloads, batch processing, PostgreSQL and event-driven architectures.
- Contribute to cloud-native architecture, CI/CD pipelines and Infrastructure as Code.
- Work with Databricks and modern data processing approaches.
- Collaborate with engineers on system design, data modelling and platform improvements.
- Improve software quality through code reviews, automated testing and mentoring less experienced developers.
- Leverage AI-assisted development tools to improve productivity, accelerate problem solving and support activities such as coding, testing and technical analysis.
Expectations – the experience you need
- 5+ years of commercial experience with Python development, with a strong focus on backend engineering.
- Strong experience building backend applications and REST APIs.
- Solid knowledge of SQL and experience with PostgreSQL or other relational databases.
- Hands-on experience with AWS and/or Azure, Docker, and CI/CD pipelines.
- Experience building data-intensive applications, data pipelines or solutions processing large datasets.
- Strong understanding of software engineering best practices, testing and clean code principles.
Additional skills – the edge you have
- Experience with Databricks or other modern data platforms.
- Familiarity with event-driven architectures, asynchronous processing and distributed systems.
- Hands-on experience with Azure services such as Azure Container Apps or Batch Processing.
- Experience with Infrastructure as Code, e.g. Terraform.
- Experience with Azure DevOps and deployment automation.
- Practical experience using AI-assisted software development tools.
What we offer:
- Flexible and remote cooperation options
- International projects with leading global clients
- Travels related to international projects
- Non-corporate atmosphere
- Access* to language classes
- Access* to knowledge-sharing initiatives
- Access* to private healthcare and life insurance
- Access* to multisport card
*The availability and terms of individual benefits may vary depending on the chosen form of cooperation.
Skills Required
- 5+ years of commercial Python development experience focused on backend engineering
- Strong experience building backend applications and REST APIs
- Solid SQL knowledge and experience with PostgreSQL or other relational databases
- Hands-on experience with AWS and/or Azure, Docker, and CI/CD pipelines
- Experience building data-intensive applications, data pipelines, or solutions processing large datasets
- Strong understanding of software engineering best practices, testing, and clean code principles
- Experience with Databricks or other modern data platforms
- Familiarity with event-driven architectures, asynchronous processing, and distributed systems
- Hands-on experience with Azure Container Apps or Batch Processing
- Experience with Infrastructure as Code, such as Terraform
- Experience with Azure DevOps and deployment automation
- Practical experience using AI-assisted software development tools
Software Mind Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.
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Fair & Transparent Compensation — Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
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Flexible Benefits — Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
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Wellbeing & Lifestyle Benefits — Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.
Software Mind Insights
What We Do
Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.
